Wuxi Double Elephant Micro Fibre Material Co (002395) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 3.6B CNY
Analysis
Wuxi Double Elephant Micro Fibre Material Co (002395) currently trades at ¥12.84, while our model-based Fair Value estimate is ¥12.81 — implying the stock looks roughly 0.2% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Wuxi Double Elephant Micro Fibre Material Co.,Ltd manufactures and sells artificial and synthetic leather products in the People's Republic of China and internationally. It operates through Microfiber and PU; and PMMA and sheet segments. The company offers microfiber leather products, such as bio-based microfiber leather, GRS microfiber leather, waterborne/solvent-free microfiber leather, microfiber luggage leather, ultra fiber automotive seat leather, microfiber shoe leather, ball and sports equipment leather, ultra fiber sofa leather, and ultra fiber suede/BASE products. The company also provides PU synthetic leather products, including waterborne/solvent-free, ball leather, luggage leather, and furniture leather products. Its products are used in automotive interior decoration, sofas and furniture, bags and handbags, functional footwear materials, sporting goods, apparel, electronic packaging, interior decoration, and other fields. Wuxi Double Elephant Micro Fibre Material Co.,Lt…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.